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base on High-performance, low-footprint SQL database written in C++. Process millions of rows per second from Kafka/Pulsar, Iceberg, or ClickHouse, and seamlessly write results back. Supports powerful features like JOIN, CDC, UPSERT, and LOOKUP, enabling real-time analytics and ETL at scale. <img alt="Timeplus Proton – An open-source, fast and lightweight streaming SQL engine" src="design/proton-logo-white-bg.png"/> A fast and lightweight streaming SQL engine, 🚀 powered by ClickHouse 📄 <a href="https://docs.timeplus.com/proton" target="_blank">Documentation</a>   🚀 <a href="https://demo.timeplus.cloud/" target="_blank">Live Demo</a>   🌎 <a href="https://timeplus.com/" target="_blank">Timeplus</a> <a href="https://github.com/timeplus-io/proton/"><img src="https://img.shields.io/github/stars/timeplus-io/proton?logo=github" /></a>  <a href="https://github.com/timeplus-io/proton/pkgs/container/proton"><img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fjovezhong.github.io%2Fbackage%2Ftimeplus-io%2Fproton%2Fproton.json&query=%24.downloads&label=Docker%20Pull" /></a>  <a href="https://github.com/timeplus-io/proton/blob/develop/LICENSE"><img src="https://img.shields.io/github/v/release/timeplus-io/proton" alt="Release" /></a>  <a href="https://www.youtube.com/@timeplusdata"><img src="https://img.shields.io/youtube/channel/views/UCRQCOw9wOiqHZkm7ftAMdTQ" alt="YouTube" /></a>  <a href="https://timeplus.com/slack"><img src="https://img.shields.io/badge/Join%20Slack-blue?logo=slack" alt="Slack" /></a>  <a href="https://linkedin.com/company/timeplusinc"><img src="https://img.shields.io/badge/timeplusinc-0077B5?style=social&logo=linkedin" alt="follow on LinkedIn"/></a>  <a href="https://twitter.com/intent/follow?screen_name=timeplusdata"><img src="https://img.shields.io/twitter/follow/timeplusdata?label=" alt="X" /></a> <img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=37571e92-69be-437f-b1c2-7b86d1e0ea55" /> <a href="https://github.com/timeplus-io/proton/blob/develop/LICENSE"><img src="https://img.shields.io/github/license/timeplus-io/proton?label=license&logo=github&color=blue" alt="License" /></a>  <a href="#-why-use-timeplus-proton">Why Use Timeplus Proton</a> · <a href="#how-is-it-different-from-clickhouse">How is it different from ClickHouse?</a> . <a href="#-demo-video">Demo Video</a> · <a href="#-deployment">Deployment</a> · <a href="#-whats-next">What's Next</a> · <a href="#-integrations">Integrations</a> · <a href="#contributing">Contributing</a> · <a href="#need-help">Need help?</a> Timeplus Proton is a stream processing engine and database. It is a fast and lightweight alternative to ksqlDB or Apache Flink, 🚀 powered by the libraries and engines in ClickHouse. It enables developers to solve streaming data processing, multi-stream JOINs, sophisticated incremental materialized views, routing and analytics challenges from Apache Kafka, Redpanda and more sources, and send aggregated data to the downstream streaming or database systems. Timeplus Proton is the core engine of [Timeplus Enterprise](https://timeplus.com). ## 💪 Why use Timeplus Proton? 1. **[Apache Flink](https://github.com/apache/flink) or [ksqlDB](https://github.com/confluentinc/ksql) alternative.** Timeplus Proton provides powerful stream processing functionalities, such as streaming ETL, tumble/hop/session windows, watermarks, incremental materialized views maintenance, CDC and data revision processing. In contrast to pure stream processors, it also stores queryable analytical/row based materialized views within Proton itself for use in analytics dashboards and applications. 2. **Fast.** Timeplus Proton is written in C++, with optimized performance through SIMD. [For example](https://www.timeplus.com/post/scary-fast), on an Apple MacBookPro with M2 Max, Timeplus Proton can deliver 90 million EPS, 4 millisecond end-to-end latency, and high cardinality aggregation with 1 million unique keys. 3. **Lightweight.** Timeplus Proton is a single binary (\<500MB). No JVM or any other dependencies. You can also run it with Docker, or on an AWS t2.nano instance (1 vCPU and 0.5 GiB memory). 4. **Powered by the fast, resource efficient and mature [ClickHouse](https://github.com/clickhouse/clickhouse).** Timeplus Proton extends the historical data, storage, and computing functionality of ClickHouse with stream processing. Thousands of SQL functions are available in Timeplus Proton. Billions of rows are queried in milliseconds. 5. **Best streaming SQL engine for [Kafka](https://kafka.apache.org/) or [Redpanda](https://redpanda.com/).** Query the live data in Kafka or other compatible streaming data platforms, with [external streams](https://docs.timeplus.com/proton-kafka). ![Proton Architecture](design/proton-architecture.webp) See our [architecture](https://docs.timeplus.com/proton-architecture) doc for technical details and our [FAQ](https://docs.timeplus.com/proton-faq) for more information. ## How is it different from ClickHouse? ClickHouse is an extremely performant Data Warehouse built for fast analytical queries on large amounts of data. While it does support ingesting data from streaming sources such as Apache Kafka, it is itself not a stream processing engine which can transform and join streaming event data based on time-based semantics to detect patterns that need to be acted upon as soon as it happens. ClickHouse also has incremental materialized view capability but is limited to creating materialized view off of ingestion of blocks to a single table. Proton uses ClickHouse as a table store engine inside of each stream (alongside a Write Ahead Log and other data structures) and uses to unify real-time and historical data together to detect signals in the data. In addition, Proton can act as an advanced data pre-processor for ClickHouse (and similar systems) where the bulk of the data preparation and batching is done ahead of ingestion. See [Timeplus and ClickHouse](https://www.timeplus.com/timeplus-and-clickhouse) for more details on this. ## 🎬 Demo Video 2-minute short video👇. Check out [the full video at YouTube](https://youtu.be/vi4Yl6L4_Dw?t=283). https://github.com/timeplus-io/proton/assets/5076438/8ceca355-d992-4798-b861-1e0334fc4438 ## ⚡ Deployment ### A single binary: ```shell curl https://install.timeplus.com/oss | sh ``` Once the `proton` binary is available, you can run `proton server` to start the server and put the config/logs/data in the current folder `proton-data`. Then use `proton client` in the other terminal to start the SQL client. For Mac users, you can also use [Homebrew](https://brew.sh/) to manage the install/upgrade/uninstall: ```shell brew install timeplus-io/timeplus/proton ``` ### Docker: ```bash docker run -d --pull always -p 8123:8123 -p 8463:8463 --name proton d.timeplus.com/timeplus-io/proton:latest ``` Please check [Server Ports](https://docs.timeplus.com/proton-ports) to determine which ports to expose, so that other tools can connect to Timeplus, such as DBeaver. ### Docker Compose: The [Docker Compose stack](https://github.com/timeplus-io/proton/tree/develop/examples/ecommerce) demonstrates how to read/write data in Kafka/Redpanda with external streams. ### Timeplus Cloud: Don't want to setup by yourself? Try Timeplus in [Cloud](https://demo.timeplus.cloud/) ### 🔎 Usage SQL is the main interface. You can start a new terminal window with `proton client` to start the SQL shell. > [!NOTE] > You can also integrate Timeplus Proton with Python/Java/Go SDK, REST API, or BI plugins. Please check <a href="#-integrations">Integrations</a> In the `proton client`, you can write SQL to create [External Stream for Kafka](https://docs.timeplus.com/proton-kafka) or [External Table for ClickHouse](https://docs.timeplus.com/proton-clickhouse-external-table). For example, you can read from AWS MSK and write the data to ClickHouse for the following SQL: ```sql -- Read from AWS MSK using IAM Role CREATE EXTERNAL STREAM aws_msk_stream ( device string, temperature float ) SETTINGS type='kafka', brokers='prefix.kafka.us-west-2.amazonaws.com:9098', topic='topic', security_protocol='SASL_SSL', sasl_mechanism='AWS_MSK_IAM'; -- Write to ClickHouse CREATE EXTERNAL TABLE ch_aiven SETTINGS type='clickhouse', address='abc.aivencloud.com:28851', user='avnadmin', password='..', secure=true, table='events'; -- Setup a long-running materialized view to write aggregated data to ClickHouse CREATE MATERIALIZED VIEW mv_msk2ch INTO ch_aiven AS SELECT window_start as timestamp, device, avg(temperature) as avg_temperature FROM tumble(aws_msk_stream, 10s) GROUP BY window_start, device; ``` If you don't have immediate access to Kafka or ClickHouse, you can also run the following SQL to generate random data: ```sql -- Create a stream with random data CREATE RANDOM STREAM devices( device string default 'device'||to_string(rand()%4), temperature float default rand()%1000/10); -- Run the streaming SQL SELECT device, count(*), min(temperature), max(temperature) FROM devices GROUP BY device; ``` You should see data like the following: ``` ┌─device──┬─count()─┬─min(temperature)─┬─max(temperature)─┐ │ device0 │ 2256 │ 0 │ 99.6 │ │ device1 │ 2260 │ 0.1 │ 99.7 │ │ device3 │ 2259 │ 0.3 │ 99.9 │ │ device2 │ 2225 │ 0.2 │ 99.8 │ └─────────┴─────────┴──────────────────┴──────────────────┘ ``` ### ⏩ What's next? To see more examples of using Timeplus Proton, check out the [examples](https://github.com/timeplus-io/proton/tree/develop/examples) folder. To access more features, such as sources, sinks, dashboards, alerts, and data lineage, try [Timeplus Enterprise](https://www.timeplus.com/product) locally. What features are available with Timeplus Proton versus Timeplus Enterprise? | | **Timeplus Proton** | **Timeplus Enterprise** | | ----------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **Deployment** | <ul><li>Single-node Docker image</li><li>Single binary on Mac/Linux</li></ul> | <ul><li>Single node, or</li><li>Cluster</li><li>Kubernetes-based self-hosting</li></ul> | | **Data sources** | <ul><li>Random streams</li><li>External streams to Apache Kafka, Apache Pulsar, Confluent Cloud, Redpanda</li><li>External streams to another Timeplus Proton or Timeplus Enterprise deployment</li><li>External tables to ClickHouse</li><li>Streaming ingestion via REST API (compact mode only)</li></ul> | <ul><li>Everything in Timeplus Proton</li><li>WebSocket and HTTP Stream</li><li>NATS</li><li>CSV upload</li><li>Streaming ingestion via REST API (with API key and flexible modes)</li><li>Hundreds of connectors from Redpanda Connect</li></ul> | | **Data destinations (sinks)** | <ul><li>External streams to Apache Kafka, Apache Pulsar, Confluent Cloud, Redpanda</li><li>External streams to another Timeplus Proton or Timeplus Enterprise deployment</li><li>External tables to ClickHouse</li></ul> | <ul><li>Everything in Timeplus Proton</li><li>Slack</li><li>Webhook</li><li>Hundreds of connectors from Redpanda Connect</li></ul> | | **Support** | <ul><li>Community support from GitHub and Slack</li></ul> | <ul><li>Enterprise support via email, Slack, and Zoom, with a SLA</li></ul> | ## 🧩 Integrations The following drivers are available: * https://github.com/timeplus-io/proton-java-driver JDBC and other Java clients * https://github.com/timeplus-io/proton-go-driver * https://github.com/timeplus-io/proton-python-driver Integrations with other systems: * ClickHouse https://docs.timeplus.com/proton-clickhouse-external-table * Docker and Testcontainers https://docs.timeplus.com/tutorial-testcontainers-java * Sling https://docs.timeplus.com/sling * Grafana https://github.com/timeplus-io/proton-grafana-source * Homebrew https://github.com/timeplus-io/homebrew-timeplus * dbt https://github.com/timeplus-io/dbt-proton ## Documentation We publish full documentation for Timeplus Proton at [docs.timeplus.com](https://docs.timeplus.com/proton) alongside documentation for Timeplus Enterprise. We also have a [FAQ](https://docs.timeplus.com/proton-faq/) for detailing how we chose Apache License 2.0, how Timeplus Proton is related to ClickHouse, and more. ## Contributing We welcome your contributions! If you are looking for issues to work on, try looking at [the issue list](https://github.com/timeplus-io/proton/issues). Please see the [wiki](https://github.com/timeplus-io/proton/wiki/Contributing) for more details, and [BUILD.md](https://github.com/timeplus-io/proton/blob/develop/BUILD.md) to compile Timeplus Proton in different platforms. ## Need help? Please use [GitHub Discussions](https://github.com/timeplus-io/proton/discussions) to share your feedbacks or questions for Timeplus Proton. For filing bugs, suggesting improvements, or requesting new features, open [GitHub Issues](https://github.com/timeplus-io/proton/issues). To connect with Timeplus engineers or inquire about Timeplus Enterprise, join our [Timeplus Community Slack](https://timeplus.com/slack). ## Licensing Proton uses Apache License 2.0. See details in the [LICENSE](https://github.com/timeplus-io/proton/blob/master/LICENSE). ", Assign "at most 3 tags" to the expected json: {"id":"2334","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"

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